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Digital Image Colorization Based on Probabilistic Distance Transform

  • Przemyslaw Lagodzinski
  • Bogdan Smolka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5197)

Abstract

Colorization denotes a process of adding color to gray-scale images, movies and TV programs. This process replaces the intensity value of an image pixel with a vector in a three dimensional color space composed of hue, saturation and luminance, and since this mapping - between intensity and color, has no inherently ’correct solution’, human interaction and external information usually plays a large role. In this paper we present a novel colorization method that takes advantage of the modified morphological distance transform to automatically propagate the color scribbled by a user on the gray-scale image. The introduced modification of the distance transform is based on the Gibbs distribution which governs the behavior of a virtual particle performing a random walk on the image domain. Such a modification allows for the application of the distance transform to the gray-scale images and yields high quality colorization results.

Keywords

Colorization distance transform computer vision 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Przemyslaw Lagodzinski
    • 1
  • Bogdan Smolka
    • 2
  1. 1.Institute of Computer ScienceSilesian University of TechnologyGliwicePoland
  2. 2.Institute of Automatic ControlSilesian University of TechnologyGliwicePoland

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